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Record W2610196704 · doi:10.1121/2.0000439

An acoustic examination of laterals in Lower Sorbian

2016· article· en· W2610196704 on OpenAlexaff
Phil Howson, Alexei Kochetov

Bibliographic record

VenueProceedings of meetings on acoustics · 2016
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDorsumDuration (music)VowelTongueWord (group theory)GeologyAcousticsLinguisticsSpeech recognitionPhysicsComputer scienceMathematicsAnatomyBiologyGeometry

Abstract

fetched live from OpenAlex

This study is an acoustic examination of laterals in Lower Sorbian, an endangered language spoken in eastern Germany. Acoustic data for two dialects of Lower Sorbian (one with the dark lateral and one which underwent the sound change to /w/; both have a clear lateral, /l/) was collected and analyzed using a SSANOVA to examine temporal characteristics of these sounds. The findings suggest that there is a difference in the gestural timing between the clear and dark lateral in word initial and final positions. The dark lateral has earlier achievement F2-F1 target, suggesting an earlier achievement of the tongue dorsum retraction; F2-F1 remains low throughout the following vowel, suggesting a backing effect. The clear lateral has intensifying F2-F1 suggesting tongue dorsum retraction over the duration, until the onset of the following vowel. The data also suggests that lenition of the tongue tip in the word final position could have been a trigger for the sound change. In word final position, there is also a much higher F3 for /w/, suggesting weaker lip rounding, resulting in a similar F3 frequency and trajectory for the dark lateral. This also suggests a similar vocal tract shape between the dark lateral and /w/.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.322
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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